A novel PSO algorithm for global optimization of multi-dimensional function

In this paper, a novel particle swarm optimization (NPSO) algorithm was proposed. A novel formula for updating the particlepsilas velocity was introduced in NPSO. More information could be utilized by almost all particles to adjust their movements during the searching process. The experimental resul...

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Bibliographic Details
Published in2008 Chinese Control and Decision Conference pp. 956 - 960
Main Authors Hongqing Fang, Long Chen, Wancheng Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2008
Subjects
global numerical optimization
multi-dimensional function
particle swarm optimization
swarm intelligence
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Summary:In this paper, a novel particle swarm optimization (NPSO) algorithm was proposed. A novel formula for updating the particlepsilas velocity was introduced in NPSO. More information could be utilized by almost all particles to adjust their movements during the searching process. The experimental results on a well-known benchmark function with different dimensions show that the proposed NPSO algorithm improves the searching performance significantly.
ISBN:9781424417339
1424417333
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2008.4597454